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Why Do Games Take So Long? Why do games take so long? By David W. Smith Presented June 23, 2018 SABR48, Pittsburgh, Pennsylvania Game length has been a common topic in the baseball media for several years and many have noted increasing game time over some short interval of a few years. Various explanations have been offered and different aspects of the game emphasized depending on who is doing the analysis. I decided to take a long view to examine many years to look for patterns and trends that can be measured quantitatively. The data for this study come from Retrosheet of course and here is a summary of what I had available. 183,224 Games 108 Seasons: 1908 to 2017 minus 1918 and 1919 The exclusion of 1918 and 1919 reflects the unavailability of time of game for those two seasons. I checked several newspaper sources to no avail. This coincides with the demise of the Sporting Life weekly newspaper and the monopoly that resulted for The Sporting News beginning in 1918. The Sporting Life reported time of game faithfully, but The Sporting News did not fill this need until 1920 although it was useful thereafter. Most of my analysis will have those two seasons omitted. In order to make fair comparisons, it is necessary to remove extra inning games since they would naturally be expected to take longer and skew the overall average. Games that ended early due to rain, curfew, or the like were also removed. The remainder can be termed “regulation-length” games and they are divided by whether or not the home team bats in the bottom of the 9th. The home team wins about 54% of these regulation-length games. Regulation-length Games Games Percentage of total games 8.5 80968 44.3 9.0 83516 45.7 All Regulation-length 164484 90.0 How has the length of the average game changed? Figure 1 shows the data from 1908-2017, excluding 1918 and 1919, but including the extra innings games this time to see the extreme values. Figure 1. Average minutes for all games, 1908-2017 There have been the expected annual variations and periods of rise as well as decline. However, when a linear regression is performed to determine the best fit line, the result shows an extremely strong direct relationship with the R2 value indicating that 94% of the variance in the game length is accounted for by the passage of the years. Highlights along this 110 year trip are here. Landmarks in game length First year with average of over two hours 1934 (123.6 minutes) First year with average of over two and a half hours 1954 (150.3 minutes) First year with average of over three hours 2000 (181.4 minutes) Longest average game time 2017 (188.7 minutes) The patterns of annual variation for the regulation-length games by themselves are parallel with similar high values of R2 in the linear regression. Since my focus is on the regulation-length games, I explored the time differences between the 8.5 and 9.0 games in more detail. Figure 2 has the differences between these two types of games in minutes over the 108 seasons Figure 2. Annual differences in game length between 8.5 and 9.0 inning games, 1908-2017 The average difference has increased, but there is much year to year variation. The linear regression R2 value of 0.51 shows a moderate relation, but certainly less than for the game times. There has been a general increase in the time difference, from around 6 minutes until 1930 to over 10 for most years since 2011. This result is not unexpected since increased game length likely means that each inning is getting somewhat longer. Of course, the only half inning for which we can do this exact calculation is the bottom of the 9th. Interestingly, if we take this current value of 10 minutes for the bottom of the 9th and assume that it applies to all 18 half innings, then we find an expected average of 180 minutes (3 hours) which fits the observed data well. I began researching this topic last summer during SABR47 in New York when my friend Steve Steinberg asked me what the relation was between number of pitches and game length. First I need to make a digression on the data we have. Retrosheet’s pitch data has two distinct components. The answer to Steve’s question is shown in Figure 3 for all regulation-length games from this entire period. Figure 3. Regulation game length and number of pitches. There are several points to make about this result. The R2 value of 0.73 means that the number of pitches in a game explains nearly three quarters of the variance in the time of game for this set of over 64,000 games covering more than 18 million pitches. That is a strong relation, although we would always like it to be more. I did analyze the 8.5 and 9 inning games separately and also the Roth games separately from the modern ones. The Roth data fits in extremely well with the modern information so there is no need to present separate graphs. Also the calculated slopes of the lines for 8.5 and 9 inning games are only slightly different and I therefore combined them all into this one figure. Examination of this figure shows very large ranges in both pitch totals and game times. These extremes and the averages are summarized as follows With ranges this large, it is essential to have big data sets to find statistically meaningful differences. Playing the bottom of the 9th adds an average of 10 minutes to the game. The average number of pitches for these 10 minutes is 15. With this clear importance of the number of pitches on the time of game, I then set about looking for explanations of what would make the number of pitches increase. Here are the quantitative, measurable causes of game actions I considered. Activities with possible effect on number of pitches in a game. Amount of scoring and other offensive actions Changes in proportions of different types of events The level of scoring is presented in Figure 4 along with several other offensive statistics, all for regulation-length games. Figure 4. Major offensive categories, 1908-2017 Runs are, of course, the net result of all offensive action. They are presented in the blue line here. Scoring has varied over the last 110 years, but there is no obvious upward trend to match the time of game. We have still not returned to the level of scoring seen in the first 15 years of the lively ball era although the average game length then was more than an hour less than it is now. So more scoring doesn’t give us our answer. The orange line has the average number of hits per game and the changes there are pretty close to the pattern for runs, but once again there is no systematic upward trend. Walks, shown here in green, take more pitches than other kinds of event (more details on that in a moment), but they also show little systematic change. On the other hand, strikeouts, shown in red, have changed dramatically. As the lively ball era began, the number of strikeouts per game fell, being less than six per game for both teams combined until 1930. The average stayed in the mid-7 range until 1952 when it began a steady increase to a peak of 11.6 in 1967. After the mound was lowered in 1969, the average began to drop, reaching 9.2 in 1981. However, since then there has been a steady rise (with some short-term oscillations) and the value really took off in 2006. The strikeout rate in 2017 was 16.2 per game, the first time it has passed 16. We must address home runs as well and those annual rates are in Figure 5. Figure 5. Home runs per regulation-length game, 1908 – 2017, both teams combined . Home runs have certainly increased since 1908, but there have been boom and bust years here as well. As expected, there was a surge with the introduction of the lively ball in 1920, but that ended dramatically in 1940, with a drop of 42% to 0.7 per game in 1943, perhaps reflecting changes in the construction of the ball due to wartime shortages. However, that slack time was followed by a dramatic upsurge from 1945 to 1961 when it reached 1.9 per game. The next dramatic point was in 1987 which has been written about a great deal. There is no satisfactory explanation for this 16% spurt in a single year although there was much speculation at the time about a “juiced” ball. Sports Illustrated published a study in which the physical properties of the 1987 ball were studied and nothing was detected to account for this large increase. The decline of 28% the next year is equally mysterious. At any rate, the next sustained increase was from 1992 to 1999, followed by a slow decline to 2014 when it was 1.7. In the four seasons since (2014 to 2017), we have seen an extraordinary 46% increase to last year’s all-time high of just under 2.5 per game. The R2 shows a strong relationship over time. I go through all this detail to make the point that there is a strong relationship between home run increase and strikeout increase. This is shown clearly in Figure 6.
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